Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Type D and Type F activities
Type D and Type F activities
Type D educational activities are at the student's choice, Type F activities are additional knowledge useful for job placement (internships, transversal skills, project works, etc.). According to the Didactic Regulations of the Course, some activities can be chosen and entered independently in the booklet, others must be approved by a special committee to verify their consistency with the study plan. Type D or F training activities can be covered by the following activities.
1. Teachings delivered at the University of Verona.
Include the teachings listed below and/or in the Catalog of Teachingshttps://www.univr.it/it/catalogo-insegnamenti - Opens in a new window (which can also be filtered by language of delivery via Advanced Search).
Booklet entry mode: if the teaching is included among those listed below, the student can enter it independently during the period- Opens in a new window in which the syllabus is open; otherwise, the student must make a request to the Secretariat, sending to carriere.scienze@ateneo.univr.it- Opens in a new window the form- Opens in a new window in the period indicated- Opens in a new window.
2. CLA language certificate or equivalency.
In addition to those required by the curriculum, the following are recognized for those matriculated from A.Y. 2021/2022:
- English language: 3 CFUs are recognized for each level of proficiency above that required by the course of study (if not already recognized in the previous course of study).
- Other languages and Italian for foreigners: 3 cfu are recognized for each proficiency level starting from A2 (if not already recognized in the previous study cycle).
These cfu will be recognized, up to a maximum of 6 cfu in total, of type F if the teaching plan allows it, or of type D. Additional elective credits for language knowledge may be recognized only if consistent with the student's educational project and if adequately motivated.
Those matriculated up to A.Y. 2020/2021 should consult the information found here- services - cla - language exercises - science and engineering https://www.scienzeingegneria.univr.it/?ent=iniziativa&id=4688 - Opens in a new window.
Booklet entry mode: apply for the certificate- Opens in a new window orequivalency- services - recognition of external language certifications - cla Opens in a new window to the CLA and send it to the Student Secretariat - Careers for the inclusion of the exam in the career, by email: carriere.scienze@ateneo.univr.it- Opens in a new window
3. Soft skills
Discover the training paths promoted by the University's TALC - Teaching and learning centerhttps://talc.univr.it/ - Opens in a new window, intended for students regularly enrolled in the academic year of course delivery https://talc.univr.it/it/competenze-trasversali- Opens in a new window
Booklet entry mode: The teaching is not intended to be included in the syllabus. Only upon obtaining theOpen Badgehttps://talc.univr.it/it/servizi/open-badge - Opens in a new window will the booklet CFUs be automatically validated. The registration of CFUs in career is not instantaneous, but there will be some technical time to wait.
4. Contamination lab
The Contamination Lab Verona (CLab Verona) is an experiential pathway with modules dedicated to innovation and business culture that offers the opportunity to work in teams with students from all courses of study to solve challenges launched by companies and institutions. The pathway allows students to receive 6 CFUs in the D or F area. Discover the challenges: https://www.univr.it/clabverona- Opens in a new window
PLEASE NOTE: To be eligible to take any teaching activity, including electives, you must be enrolled in the year of the course in which it is offered. Therefore, it is recommended that undergraduates of the December and April sessions DO NOT take extracurricular activities of the new academic year, in which they are not enrolled, since these degree sessions are valid with reference to the previous academic year. Therefore, for activities carried out in an academic year in which they are not enrolled, no recognition of CFUs can be given.
5. Internship/internship period
In addition to the CFUs stipulated in the curriculum (check carefully what is indicated on the Educational Regulations) here- services - internships and apprenticeships - science and engineering It opens in a new window you can find information on how to activate the internship.
Check in the regulations which activities can be Type D and which can be Type F.
Please also note that for internships activated from October 1, 2024, it will be possible to recognize excess hours in terms of Type D credits, limited only to internship experiences carried out at host institutions outside the University.
years | Modules | TAF | Teacher |
---|---|---|---|
2° 3° | Attention Laboratory | D |
Pietro Sala
(Coordinator)
|
2° 3° | Elements of Cosmology and General Relativity | D |
Claudia Daffara
(Coordinator)
|
2° 3° | Introduction to quantum mechanics for quantum computing | D |
Claudia Daffara
(Coordinator)
|
2° 3° | Introduction to smart contract programming for ethereum | D |
Sara Migliorini
(Coordinator)
|
2° 3° | Python programming language [English edition] | D |
Carlo Combi
(Coordinator)
|
2° 3° | BEYOND ARDUINO: FROM PROTOTYPE TO PRODUCT WITH STM MICROCONTROLLER | D |
Franco Fummi
(Coordinator)
|
2° 3° | APP REACT PLANNING | D |
Graziano Pravadelli
(Coordinator)
|
2° 3° | HW components design on FPGA | D |
Franco Fummi
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
2° 3° | Attention Laboratory | D |
Pietro Sala
(Coordinator)
|
2° 3° | LaTeX Language | D |
Enrico Gregorio
(Coordinator)
|
2° 3° | Python programming language [Edizione in italiano] | D |
Carlo Combi
(Coordinator)
|
2° 3° | Rapid prototyping on Arduino | D |
Franco Fummi
(Coordinator)
|
2° 3° | Programming Challanges | D |
Romeo Rizzi
(Coordinator)
|
2° 3° | Tools for development of applications of virtual reality and mixed | D |
Andrea Giachetti
(Coordinator)
|
2° 3° | Development and life cycle of software of artificial intelligence software | D |
Marco Cristani
(Coordinator)
|
2° 3° | Protection of intangible assets (SW and invention)between industrial law and copyright | D |
Mila Dalla Preda
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° | Subject requirements: mathematics | D |
Franco Zivcovich
(Coordinator)
|
Algorithms (2024/2025)
Teaching code
4S02709
Credits
12
Coordinator
Language
Italian
Courses Single
AuthorizedThe teaching is organized as follows:
PROGRAMMING LABORATORY II
Credits
6
Period
See the unit page
Academic staff
See the unit page
Learning objectives
The course aims at providing the fundamental methodological tools for the design and analysis of al-gorithms with emphasis on their employment in the solution of simple bioinformatics problems. The students will learn to implement basic algorithmic solution and fundamental data structures for solving problems in bioinformatics by employing object oriented programming. The course is structured on two modules: Algoritmi per Bioinformatica and Laboratorio di Programmazione II, which are detaled below. Module 1: The students will learn foundations of algorithm design and analysis. They will be able to model simple (real world) problems in terms of computational problems; to quantify the computational resources necessary to execute an algorithm, hence to compare different algorithmic solutions in terms of their computational cost. In particular, a student who has profitably attended the course, will be able to evaluate the applicability and effectiveness of basic algorithmic design techniques to simple computational problems. Module 2: The aim of this module is to provide the basic knowledge to implement fundamental algorithms using object oriented programming. The reference programming language is Java. The teaching methodology includes assisted software development and the implementation of specific projects focussed on applications that are relevant to bioinformatics. At the end of the course the student will be able to use the main data structures available in Java and develop new data structures for the implementation of specific software modules.
Prerequisites and basic notions
Knowledge of the fundamental concepts of discrete mathematics, probability calculus and graph theory. Sequences and series.
Resolution of the most important series. Concept of probability, space of events, random variables, probability distribution functions. Mean, variance. Independent random variables. Fundamental probability functions: uniform, geometric, Bernoulli, binomial and normal (Gaussian). Equations of recurrence. Graph, Directed graph, Degree of node and graph, Path, Weighted path, Cycle. Tree, rooted tree, binary tree.
Knowledge of the fundamental concepts of programming:
Basic scalar types: integer, decimal (scientific notation), character, boolean
Concept of variable and parameter. Array.
Instructions: assignment, IF, FOR and WHILE loops.
Procedures, Functions, Procedure Call, Parameter Passing by Value and by reference.
Recursive procedures.
Bibliography
Criteria for the composition of the final grade
There is only one assessment for both modules.
The exam verifies that the students have acquired sufficient confidence and skill in: the use of basic algorithmic design, algorithmic analysis tools, and Java implementation of algorithms. The exam consists of a written test with multiple-choices and open questions. The multiple-choices exercises are meant to evaluate the student's knowledge of classical algorithms, analysis tools, and the basic knowledge of Java. Open exercises test are meant to evaluate the ability of students to model "new" toy problems, design and analyse algorithmic solutions for it, and implement the algorithm solution in Java.